CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8. by Qian Shen, Yi Li, YuXiang Zhang, Lei Zhang, ShiHao Liu, Jinhua Wu

“…First, the bottleneck of the C2f module in the original yolov8 network is replaced with the residual Faster-Block module in FasterNet, and then the new channel mixer convolution GLU (CGLU) in TransNeXt is combined with it to construct the C2f-faster-CGLU module, reducing the number of model parameters and computational load; Secondly, the SPPF module is combined with the large separable kernel attention (LSKA) to construct the SPPF-LSKA module, which greatly enhances the feature extraction ability of the model; Then, by adding a small target detection layer, the accuracy of small target detection such as traffic signs is greatly improved; Finally, the Inner-IoU and MPDIoU loss functions are integrated to construct WISE-Inner-MPDIoU, which replaces the original CIoU loss function, thereby improving the calculation accuracy. …”
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Genetic Algorithm-Based Optimization of Online Diesel Fuel Upgrading Process for Nuclear Power Emergency by Lanqi Zhang, Hao Li, Fengyi Liu, Xiangnan Chu, Qi Ma, Haotian Ye

“…To enhance the oxidative stability of aging diesel fuel stored in nuclear power emergency systems, we propose a novel hybrid optimization framework that integrates a Genetic Algorithm (GA), State-Space Network (SSN) modeling, and Computational Fluid Dynamics (CFD) simulation. …”
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Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

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A Hybrid Algorithm for PMLSM Force Ripple Suppression Based on Mechanism Model and Data Model by Yunlong Yi, Sheng Ma, Bo Zhang, Wei Feng

“…Therefore, this paper proposes a hybrid modeling framework that integrates the physical mechanism and measured data and realizes the dynamic compensation of the force ripple by constructing a collaborative suppression algorithm. …”
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INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM by RAO YuWen, LIN RenBang, YANG YanZhi, YAN Gang

“…Combined with the outputs of the corresponding forward finite element（ FE） model,an objective function is constructed and artificial bee colony（ ABC） algorithm is employed to optimally identify the CZM parameters. …”
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An Improved Lithium-Ion Battery Fire and Smoke Detection Method Based on the YOLOv8 Algorithm by Li Deng, Di Kang, Quanyi Liu

“…This paper introduces a novel algorithm—YOLOv8 (You Only Look Once version 8) + FRMHead (a multi-branch feature refinement head) + Slimneck (a lightweight bottleneck module), abbreviated as YFSNet—for lithium-ion battery fire and smoke detection in complex backgrounds. …”
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Evaluation Method for Running State of Electricity Meters Based on Random Matrix Theory and Clustering Algorithm by Yingying CHENG, Jie DU, Quan ZHOU, Jiaming ZHANG, Xiaoyong ZHANG, Gang LI

“…Based on the principle of big data mining analysis, this paper proposes a method based on random matrix theory and clustering algorithm to evaluate the running state of electric energy meter. …”
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A Clinical Risk Prediction Model for Depressive Disorders Based on Seven Machine Learning Algorithms by Jin W, Chen S, Wang M, Lin P

“…However, due to concerns about potential overfitting, the multivariable logistic regression model was selected as the final predictive model. A nomogram was constructed based on this model.Conclusion: This study successfully developed a clinically interpretable risk prediction model for depressive disorders by integrating machine learning algorithms and routine blood test indicators. …”
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Three-Dimensional Reconstruction of Road Structural Defects Using GPR Investigation and Back-Projection Algorithm by Lutai Wang, Zhen Liu, Xingyu Gu, Danyu Wang

“…Subsequently, a 3D data set was constructed through interpolation, and the effective reflection data were extracted by using a clustering algorithm. …”
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Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11 by Fangyu Hu, Mairheba Abula, Di Wang, Xuan Li, Ning Yan, Qu Xie, Xuedong Zhang

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A Side-Scan Sonar Seabed Target Detection Algorithm Based on YOLOv8-RDE by Haoming Ji, Daqi Zhu, Mingzhi Chen

“…Side-scan sonar target detection is crucial in underwater exploration, but traditional algorithms suffer from inaccurate positioning, slow detection, and poor model generalization. …”
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D3QN-based collaborative offloading algorithm for vehicular networks assisted by digital twins by CHEN Geng, SONG Zhenghan, XIA Conghui, ZENG Qingtian

“…Firstly, a digital Siamese network was constructed to realize the dynamic modeling of traffic state, which integrated vehicle spatio-temporal and resource information, was different from the traditional static clustering strategy, improved the stability of collaborative clustering and reduced the strategy search space. …”
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A Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm in an Urban Area: Analysis and Application by Chunyi Wang, Qiancheng Yan, Xiaolan Qiu, Yitong Luo, Lingxiao Peng, Zhe Zhang

“…In this paper, we propose a Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm (Geo-SETRA) for urban area. Geo-SETRA integrates geometric structures, extracted from TomoSAR point clouds, as prior distributions for elevation estimation using Bayesian methods. …”
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BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm by Qing Wang, Ning Yan, Yasen Qin, Xuedong Zhang, Xu Li

“…In this paper, we propose an improved tomato leaf disease detection method based on the YOLOv10n algorithm, named BED-YOLO. We constructed an image dataset containing four common tomato diseases (early blight, late blight, leaf mold, and septoria leaf spot), with 65% of the images sourced from field collections in natural environments, and the remainder obtained from the publicly available PlantVillage dataset. …”
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Weak Labeling-specific Emitter Identification Algorithm Based on the Weakly Supervised Wav-KAN Network by Kangsheng LIU, Qing LING, Wenjun YAN, Limin ZHANG, Keyuan YU, Hengyan LIU

“…First, a WSW-KAN baseline network is constructed by integrating the unique learnable edge function of the KAN network with the multiresolution analysis of the wavelet function. …”
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Estimation of Tree Canopy Closure Based on U-Net Image Segmentation and Machine Learning Algorithms by Yuefei Zhou, Jinghan Wang, Zengjing Song, Miaohang Zhou, Mengnan Lv, Xujun Han

“…The results indicate that (1) U-Net effectively extracted tree crowns from aerial imagery to construct the sample dataset; (2) among the tested algorithms, XGBoost achieved the highest accuracy of 0.88 when incorporating Sentinel-1, Sentinel-2, vegetation indices, and land cover features, outperforming models using only Sentinel-2 data by 25.7%; and (3) XGBoost-estimated tree canopy cover (Model TCC) showed finer spatial details than the National Land Cover Database Tree Canopy Cover (NLCD TCC), with R² against the true tree canopy closure from U-Net (True TCC) up to 49.1% higher. …”
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On the Hybrid Algorithm for Retrieving Day and Night Cloud Base Height from Geostationary Satellite Observations by Tingting Ye, Zhonghui Tan, Weihua Ai, Shuo Ma, Xianbin Zhao, Shensen Hu, Chao Liu, Jianping Guo

“…The algorithm is featured by integrating deep learning techniques with a physical model. …”
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An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis by Hao Yan, Liangliang Shang, Wan Chen, Mengyao Jiang, Tianqi lu, Fei Li

“…First, a hybrid kernel extreme learning machine (HKELM) is initially constructed, leveraging SDAE’s deep network architecture for automatic feature extraction. …”
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Nonlinear Unsteady Aerodynamics Reduced Order Model of Airfoils Based on Algorithm Fusion and Multifidelity Framework by Yan Shi, Zhiqiang Wan, Zhigang Wu, Chao Yang

“…This method integrates the traditional algorithm, intelligent algorithm, and multifidelity data fusion algorithm. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…Then, combined with the level set algorithm in the level processing algorithm, a genetic grey wolf hybrid model that integrates level processing is constructed. …”
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